Carbon dioxide capture using liquid absorption methods: a review
Anthropogenic emissions of greenhouse gases into the atmosphere is inducing global
warming, ocean acidification, polar ice melting, rise in sea level, droughts and hurricanes …
warming, ocean acidification, polar ice melting, rise in sea level, droughts and hurricanes …
Machine learning in absorption-based post-combustion carbon capture systems: A state-of-the-art review
The enormous consumption of fossil fuels from various human activities leads to a significant
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
[HTML][HTML] Modeling of CO2 solubility in piperazine (PZ) and diethanolamine (DEA) solution via machine learning approach and response surface methodology
Z Khoshraftar, A Ghaemi - Case Studies in Chemical and Environmental …, 2023 - Elsevier
With the help of machine-learning algorithms, data-driven models have become increasingly
capable of predicting CO 2 solubility. As part of this study, two machine learning approaches …
capable of predicting CO 2 solubility. As part of this study, two machine learning approaches …
Modeling of carbon dioxide absorption into aqueous alkanolamines using machine learning and response surface methodology
This research focuses on modeling CO2 absorption into alkanolamine solvents using
multilayer perceptron (MLP), radial basis function network (RBF), Support Vector Machine …
multilayer perceptron (MLP), radial basis function network (RBF), Support Vector Machine …
A machine learning approach for modeling and optimization of a CO2 post-combustion capture unit
Reducing CO 2 emissions from fossil fuel fired power plants has been a major
environmental concern over the last decade. Amongst various carbon capture and storage …
environmental concern over the last decade. Amongst various carbon capture and storage …
[HTML][HTML] Modeling CO2 loading capacity of triethanolamine (TEA) aqueous solutions via a deep learning approach
F Hadavimoghaddam, B Amiri-Ramsheh, S Atashrouz… - Energy, 2024 - Elsevier
Capturing carbon dioxide (CO 2) from natural gas is essential for reducing CO 2 emissions
as a greenhouse gas as well as increasing the gas heating value. Absorption of CO 2 by …
as a greenhouse gas as well as increasing the gas heating value. Absorption of CO 2 by …
[HTML][HTML] Machine learning for CO2 capture and conversion: A review
Coupled electrochemical systems for the direct capture and conversion of CO 2 have
garnered significant attention owing to their potential to enhance energy-and cost-efficiency …
garnered significant attention owing to their potential to enhance energy-and cost-efficiency …
[HTML][HTML] Predicting overall mass transfer coefficients of CO2 capture into monoethanolamine in spray columns with hybrid machine learning
In order to avoid the catastrophic effects of global warming, we need to reduce CO 2
emissions. Currently, the most mature technology to reduce large industrial CO 2 emissions …
emissions. Currently, the most mature technology to reduce large industrial CO 2 emissions …
[HTML][HTML] Predicting CO2 equilibrium solubility in various amine-CO2 systems using an artificial neural network model
A Wahyudi, U Suriyapraphadilok - Energy and AI, 2024 - Elsevier
Three proposed reaction mechanisms can occur in an amine-CO 2 system: either
zwitterionic or termolecular mechanisms for primary/secondary amines and base-catalyzed …
zwitterionic or termolecular mechanisms for primary/secondary amines and base-catalyzed …
Relative permeability modeling using extra trees, ANFIS, and hybrid LSSVM–CSA methods
Determination of the essential properties of petroleum reservoir rocks and parameters of
fluid flow in the porous media is a challenging part of reservoir characterization. Among …
fluid flow in the porous media is a challenging part of reservoir characterization. Among …